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3dfc40898c
The `__future__` we relied on is now, where the 3 specific things are all included [since Python 3.0](https://docs.python.org/3/library/__future__.html): * absolute_import * print_function * unicode_literals * division These import statements are no-ops and are no longer necessary.
1216 lines
46 KiB
Python
1216 lines
46 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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# ===--- test_compare_perf_tests.py --------------------------------------===//
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#
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# This source file is part of the Swift.org open source project
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#
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# Copyright (c) 2014 - 2017 Apple Inc. and the Swift project authors
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# Licensed under Apache License v2.0 with Runtime Library Exception
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#
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# See https://swift.org/LICENSE.txt for license information
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# See https://swift.org/CONTRIBUTORS.txt for the list of Swift project authors
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#
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# ===---------------------------------------------------------------------===//
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import os
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import shutil
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import sys
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import tempfile
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import unittest
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from compare_perf_tests import LogParser
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from compare_perf_tests import PerformanceTestResult
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from compare_perf_tests import PerformanceTestSamples
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from compare_perf_tests import ReportFormatter
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from compare_perf_tests import ResultComparison
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from compare_perf_tests import Sample
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from compare_perf_tests import TestComparator
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from compare_perf_tests import main
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from compare_perf_tests import parse_args
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from test_utils import captured_output
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class TestSample(unittest.TestCase):
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def test_has_named_fields(self):
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s = Sample(1, 2, 3)
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self.assertEqual(s.i, 1)
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self.assertEqual(s.num_iters, 2)
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self.assertEqual(s.runtime, 3)
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def test_is_iterable(self):
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s = Sample(1, 2, 3)
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self.assertEqual(s[0], 1)
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self.assertEqual(s[1], 2)
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self.assertEqual(s[2], 3)
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class TestPerformanceTestSamples(unittest.TestCase):
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def setUp(self):
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self.samples = PerformanceTestSamples("B1")
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self.samples.add(Sample(7, 42, 1000))
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def test_has_name(self):
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self.assertEqual(self.samples.name, "B1")
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def test_stores_samples(self):
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self.assertEqual(self.samples.count, 1)
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s = self.samples.samples[0]
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self.assertTrue(isinstance(s, Sample))
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self.assertEqual(s.i, 7)
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self.assertEqual(s.num_iters, 42)
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self.assertEqual(s.runtime, 1000)
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def test_quantile(self):
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self.assertEqual(self.samples.quantile(1), 1000)
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self.assertEqual(self.samples.quantile(0), 1000)
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self.samples.add(Sample(2, 1, 1100))
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self.assertEqual(self.samples.quantile(0), 1000)
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self.assertEqual(self.samples.quantile(1), 1100)
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self.samples.add(Sample(3, 1, 1050))
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self.assertEqual(self.samples.quantile(0), 1000)
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self.assertEqual(self.samples.quantile(0.5), 1050)
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self.assertEqual(self.samples.quantile(1), 1100)
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def assertEqualFiveNumberSummary(self, ss, expected_fns):
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e_min, e_q1, e_median, e_q3, e_max = expected_fns
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self.assertEqual(ss.min, e_min)
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self.assertEqual(ss.q1, e_q1)
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self.assertEqual(ss.median, e_median)
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self.assertEqual(ss.q3, e_q3)
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self.assertEqual(ss.max, e_max)
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def test_computes_five_number_summary(self):
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self.assertEqualFiveNumberSummary(self.samples, (1000, 1000, 1000, 1000, 1000))
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self.samples.add(Sample(2, 1, 1100))
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self.assertEqualFiveNumberSummary(self.samples, (1000, 1000, 1000, 1100, 1100))
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self.samples.add(Sample(3, 1, 1050))
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self.assertEqualFiveNumberSummary(self.samples, (1000, 1000, 1050, 1100, 1100))
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self.samples.add(Sample(4, 1, 1025))
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self.assertEqualFiveNumberSummary(self.samples, (1000, 1000, 1025, 1050, 1100))
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self.samples.add(Sample(5, 1, 1075))
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self.assertEqualFiveNumberSummary(self.samples, (1000, 1025, 1050, 1075, 1100))
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def test_computes_inter_quartile_range(self):
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self.assertEqual(self.samples.iqr, 0)
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self.samples.add(Sample(2, 1, 1025))
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self.samples.add(Sample(3, 1, 1050))
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self.samples.add(Sample(4, 1, 1075))
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self.samples.add(Sample(5, 1, 1100))
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self.assertEqual(self.samples.iqr, 50)
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def assertEqualStats(self, stats, expected_stats):
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for actual, expected in zip(stats, expected_stats):
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self.assertAlmostEqual(actual, expected, places=2)
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def test_computes_mean_sd_cv(self):
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ss = self.samples
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self.assertEqualStats((ss.mean, ss.sd, ss.cv), (1000.0, 0.0, 0.0))
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self.samples.add(Sample(2, 1, 1100))
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self.assertEqualStats((ss.mean, ss.sd, ss.cv), (1050.0, 70.71, 6.7 / 100))
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def test_computes_range_spread(self):
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ss = self.samples
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self.assertEqualStats((ss.range, ss.spread), (0, 0))
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self.samples.add(Sample(2, 1, 1100))
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self.assertEqualStats((ss.range, ss.spread), (100, 10.0 / 100))
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def test_init_with_samples(self):
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self.samples = PerformanceTestSamples(
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"B2", [Sample(0, 1, 1000), Sample(1, 1, 1100)]
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)
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self.assertEqual(self.samples.count, 2)
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self.assertEqualStats(
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(
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self.samples.mean,
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self.samples.sd,
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self.samples.range,
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self.samples.spread,
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),
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(1050.0, 70.71, 100, 9.52 / 100),
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)
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def test_can_handle_zero_runtime(self):
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# guard against dividing by 0
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self.samples = PerformanceTestSamples("Zero")
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self.samples.add(Sample(0, 1, 0))
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self.assertEqualStats(
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(
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self.samples.mean,
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self.samples.sd,
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self.samples.cv,
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self.samples.range,
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self.samples.spread,
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),
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(0, 0, 0.0, 0, 0.0),
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)
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def test_excludes_outliers(self):
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ss = [
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Sample(*map(int, s.split()))
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for s in "0 1 1000, 1 1 1025, 2 1 1050, 3 1 1075, 4 1 1100, "
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"5 1 1000, 6 1 1025, 7 1 1050, 8 1 1075, 9 1 1100, "
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"10 1 1050, 11 1 949, 12 1 1151".split(",")
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]
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self.samples = PerformanceTestSamples("Outliers", ss)
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self.assertEqual(self.samples.count, 13)
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self.assertEqualStats((self.samples.mean, self.samples.sd), (1050, 52.36))
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self.samples.exclude_outliers()
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self.assertEqual(self.samples.count, 11)
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self.assertEqual(self.samples.outliers, ss[11:])
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self.assertEqualFiveNumberSummary(self.samples, (1000, 1025, 1050, 1075, 1100))
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self.assertEqualStats((self.samples.mean, self.samples.sd), (1050, 35.36))
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def test_excludes_outliers_zero_IQR(self):
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self.samples = PerformanceTestSamples("Tight")
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self.samples.add(Sample(0, 2, 23))
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self.samples.add(Sample(1, 2, 18))
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self.samples.add(Sample(2, 2, 18))
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self.samples.add(Sample(3, 2, 18))
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self.assertEqual(self.samples.iqr, 0)
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self.samples.exclude_outliers()
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self.assertEqual(self.samples.count, 3)
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self.assertEqualStats((self.samples.min, self.samples.max), (18, 18))
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def test_excludes_outliers_top_only(self):
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ss = [
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Sample(*map(int, s.split()))
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for s in "0 1 1, 1 1 2, 2 1 2, 3 1 2, 4 1 3".split(",")
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]
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self.samples = PerformanceTestSamples("Top", ss)
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self.assertEqualFiveNumberSummary(self.samples, (1, 2, 2, 2, 3))
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self.assertEqual(self.samples.iqr, 0)
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self.samples.exclude_outliers(top_only=True)
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self.assertEqual(self.samples.count, 4)
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self.assertEqualStats((self.samples.min, self.samples.max), (1, 2))
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class TestPerformanceTestResult(unittest.TestCase):
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def test_init(self):
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log_line = "1,AngryPhonebook,20,10664,12933,11035,576,10884"
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r = PerformanceTestResult(log_line.split(","))
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self.assertEqual(r.test_num, "1")
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self.assertEqual(r.name, "AngryPhonebook")
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self.assertEqual(
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(r.num_samples, r.min, r.max, r.mean, r.sd, r.median),
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(20, 10664, 12933, 11035, 576, 10884),
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)
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self.assertEqual(r.samples, None)
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log_line = "1,AngryPhonebook,1,12045,12045,12045,0,12045,10510336"
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r = PerformanceTestResult(log_line.split(","))
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self.assertEqual(r.max_rss, 10510336)
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def test_init_quantiles(self):
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# #,TEST,SAMPLES,MIN(μs),MEDIAN(μs),MAX(μs)
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log = "1,Ackermann,3,54383,54512,54601"
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r = PerformanceTestResult(log.split(","), quantiles=True)
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self.assertEqual(r.test_num, "1")
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self.assertEqual(r.name, "Ackermann")
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self.assertEqual(
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(r.num_samples, r.min, r.median, r.max), (3, 54383, 54512, 54601)
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)
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self.assertAlmostEqual(r.mean, 54498.67, places=2)
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self.assertAlmostEqual(r.sd, 109.61, places=2)
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self.assertEqual(r.samples.count, 3)
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self.assertEqual(r.samples.num_samples, 3)
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self.assertEqual(
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[s.runtime for s in r.samples.all_samples], [54383, 54512, 54601]
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)
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# #,TEST,SAMPLES,MIN(μs),MEDIAN(μs),MAX(μs),MAX_RSS(B)
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log = "1,Ackermann,3,54529,54760,55807,266240"
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r = PerformanceTestResult(log.split(","), quantiles=True, memory=True)
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self.assertEqual((r.samples.count, r.max_rss), (3, 266240))
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# #,TEST,SAMPLES,MIN(μs),Q1(μs),Q2(μs),Q3(μs),MAX(μs)
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log = "1,Ackermann,5,54570,54593,54644,57212,58304"
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r = PerformanceTestResult(log.split(","), quantiles=True, memory=False)
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self.assertEqual(
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(r.num_samples, r.min, r.median, r.max), (5, 54570, 54644, 58304)
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)
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self.assertEqual((r.samples.q1, r.samples.q3), (54593, 57212))
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self.assertEqual(r.samples.count, 5)
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# #,TEST,SAMPLES,MIN(μs),Q1(μs),Q2(μs),Q3(μs),MAX(μs),MAX_RSS(B)
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log = "1,Ackermann,5,54686,54731,54774,55030,63466,270336"
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r = PerformanceTestResult(log.split(","), quantiles=True, memory=True)
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self.assertEqual(r.samples.num_samples, 5)
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self.assertEqual(r.samples.count, 4) # outlier was excluded
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self.assertEqual(r.max_rss, 270336)
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def test_init_delta_quantiles(self):
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# #,TEST,SAMPLES,MIN(μs),𝚫MEDIAN,𝚫MAX
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# 2-quantile from 2 samples in repeated min, when delta encoded,
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# the difference is 0, which is ommited -- only separator remains
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log = "202,DropWhileArray,2,265,,22"
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r = PerformanceTestResult(log.split(","), quantiles=True, delta=True)
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self.assertEqual((r.num_samples, r.min, r.median, r.max), (2, 265, 265, 287))
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self.assertEqual(r.samples.count, 2)
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self.assertEqual(r.samples.num_samples, 2)
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def test_init_oversampled_quantiles(self):
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"""When num_samples is < quantile + 1, some of the measurements are
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repeated in the report summary. Samples should contain only true
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values, discarding the repetated artifacts from quantile estimation.
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The test string is slightly massaged output of the following R script:
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subsample <- function(x, q) {
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quantile(1:x, probs=((0:(q-1))/(q-1)), type=1)}
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tbl <- function(s) t(sapply(1:s, function(x) {
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qs <- subsample(x, s); c(qs[1], diff(qs)) }))
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sapply(c(3, 5, 11, 21), tbl)
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"""
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def validatePTR(deq): # construct from delta encoded quantiles string
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deq = deq.split(",")
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num_samples = deq.count("1")
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r = PerformanceTestResult(
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["0", "B", str(num_samples)] + deq, quantiles=True, delta=True
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)
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self.assertEqual(r.samples.num_samples, num_samples)
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self.assertEqual(
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[s.runtime for s in r.samples.all_samples], range(1, num_samples + 1)
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)
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delta_encoded_quantiles = """
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1,,
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1,,1
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1,,,,
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1,,,1,
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1,,1,1,
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1,,1,1,1
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1,,,,,,,,,,
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1,,,,,,1,,,,
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1,,,,1,,,1,,,
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1,,,1,,,1,,1,,
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1,,,1,,1,,1,,1,
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1,,1,,1,,1,1,,1,
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1,,1,1,,1,1,,1,1,
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1,,1,1,1,,1,1,1,1,
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1,,1,1,1,1,1,1,1,1,
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1,,1,1,1,1,1,1,1,1,1
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1,,,,,,,,,,,,,,,,,,,,
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1,,,,,,,,,,,1,,,,,,,,,
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1,,,,,,,1,,,,,,,1,,,,,,
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1,,,,,,1,,,,,1,,,,,1,,,,
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1,,,,,1,,,,1,,,,1,,,,1,,,
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1,,,,1,,,1,,,,1,,,1,,,1,,,
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1,,,1,,,1,,,1,,,1,,,1,,,1,,
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1,,,1,,,1,,1,,,1,,1,,,1,,1,,
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1,,,1,,1,,1,,1,,,1,,1,,1,,1,,
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1,,,1,,1,,1,,1,,1,,1,,1,,1,,1,
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1,,1,,1,,1,,1,,1,1,,1,,1,,1,,1,
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1,,1,,1,,1,1,,1,,1,1,,1,,1,1,,1,
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1,,1,,1,1,,1,1,,1,1,,1,1,,1,1,,1,
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1,,1,1,,1,1,,1,1,,1,1,1,,1,1,,1,1,
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1,,1,1,,1,1,1,,1,1,1,,1,1,1,,1,1,1,
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1,,1,1,1,,1,1,1,1,,1,1,1,1,,1,1,1,1,
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1,,1,1,1,1,1,,1,1,1,1,1,1,,1,1,1,1,1,
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1,,1,1,1,1,1,1,1,1,,1,1,1,1,1,1,1,1,1,
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1,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,
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1,,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1"""
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map(validatePTR, delta_encoded_quantiles.split("\n")[1:])
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def test_init_meta(self):
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# #,TEST,SAMPLES,MIN(μs),MAX(μs),MEAN(μs),SD(μs),MEDIAN(μs),…
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# …PAGES,ICS,YIELD
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log = "1,Ackermann,200,715,1281,726,47,715,7,29,15"
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r = PerformanceTestResult(log.split(","), meta=True)
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self.assertEqual((r.test_num, r.name), ("1", "Ackermann"))
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self.assertEqual(
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(r.num_samples, r.min, r.max, r.mean, r.sd, r.median),
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(200, 715, 1281, 726, 47, 715),
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)
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self.assertEqual((r.mem_pages, r.involuntary_cs, r.yield_count), (7, 29, 15))
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# #,TEST,SAMPLES,MIN(μs),MAX(μs),MEAN(μs),SD(μs),MEDIAN(μs),MAX_RSS(B),…
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# …PAGES,ICS,YIELD
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log = "1,Ackermann,200,715,1951,734,97,715,36864,9,50,15"
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r = PerformanceTestResult(log.split(","), memory=True, meta=True)
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self.assertEqual(
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(r.num_samples, r.min, r.max, r.mean, r.sd, r.median),
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(200, 715, 1951, 734, 97, 715),
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)
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self.assertEqual(
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(r.mem_pages, r.involuntary_cs, r.yield_count, r.max_rss),
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(9, 50, 15, 36864),
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)
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# #,TEST,SAMPLES,MIN(μs),MAX(μs),PAGES,ICS,YIELD
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log = "1,Ackermann,200,715,3548,8,31,15"
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r = PerformanceTestResult(log.split(","), quantiles=True, meta=True)
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self.assertEqual((r.num_samples, r.min, r.max), (200, 715, 3548))
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self.assertEqual(
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(r.samples.count, r.samples.min, r.samples.max), (2, 715, 3548)
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)
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self.assertEqual((r.mem_pages, r.involuntary_cs, r.yield_count), (8, 31, 15))
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# #,TEST,SAMPLES,MIN(μs),MAX(μs),MAX_RSS(B),PAGES,ICS,YIELD
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log = "1,Ackermann,200,715,1259,32768,8,28,15"
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r = PerformanceTestResult(
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log.split(","), quantiles=True, memory=True, meta=True
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)
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self.assertEqual((r.num_samples, r.min, r.max), (200, 715, 1259))
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self.assertEqual(
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(r.samples.count, r.samples.min, r.samples.max), (2, 715, 1259)
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)
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self.assertEqual(r.max_rss, 32768)
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self.assertEqual((r.mem_pages, r.involuntary_cs, r.yield_count), (8, 28, 15))
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def test_repr(self):
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log_line = "1,AngryPhonebook,20,10664,12933,11035,576,10884"
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r = PerformanceTestResult(log_line.split(","))
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self.assertEqual(
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str(r),
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"<PerformanceTestResult name:'AngryPhonebook' samples:20 "
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"min:10664 max:12933 mean:11035 sd:576 median:10884>",
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)
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def test_merge(self):
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tests = """
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1,AngryPhonebook,1,12045,12045,12045,0,12045
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1,AngryPhonebook,1,12325,12325,12325,0,12325,10510336
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1,AngryPhonebook,1,11616,11616,11616,0,11616,10502144
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1,AngryPhonebook,1,12270,12270,12270,0,12270,10498048""".split(
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"\n"
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)[
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1:
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]
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results = list(map(PerformanceTestResult, [line.split(",") for line in tests]))
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results[2].setup = 9
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results[3].setup = 7
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def as_tuple(r):
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return (
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r.num_samples,
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r.min,
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r.max,
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round(r.mean, 2),
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r.sd,
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r.median,
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r.max_rss,
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r.setup,
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)
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r = results[0]
|
|
self.assertEqual(as_tuple(r), (1, 12045, 12045, 12045, 0, 12045, None, None))
|
|
r.merge(results[1])
|
|
self.assertEqual(
|
|
as_tuple(r), # drops SD and median, +max_rss
|
|
(2, 12045, 12325, 12185, None, None, 10510336, None),
|
|
)
|
|
r.merge(results[2])
|
|
self.assertEqual(
|
|
as_tuple(r), # picks smaller of the MAX_RSS, +setup
|
|
(3, 11616, 12325, 11995.33, None, None, 10502144, 9),
|
|
)
|
|
r.merge(results[3])
|
|
self.assertEqual(
|
|
as_tuple(r), # picks smaller of the setup values
|
|
(4, 11616, 12325, 12064, None, None, 10498048, 7),
|
|
)
|
|
|
|
|
|
class TestResultComparison(unittest.TestCase):
|
|
def setUp(self):
|
|
self.r0 = PerformanceTestResult(
|
|
"101,GlobalClass,20,0,0,0,0,0,10185728".split(",")
|
|
)
|
|
self.r01 = PerformanceTestResult(
|
|
"101,GlobalClass,20,20,20,20,0,0,10185728".split(",")
|
|
)
|
|
self.r1 = PerformanceTestResult(
|
|
"1,AngryPhonebook,1,12325,12325,12325,0,12325,10510336".split(",")
|
|
)
|
|
self.r2 = PerformanceTestResult(
|
|
"1,AngryPhonebook,1,11616,11616,11616,0,11616,10502144".split(",")
|
|
)
|
|
|
|
def test_init(self):
|
|
rc = ResultComparison(self.r1, self.r2)
|
|
self.assertEqual(rc.name, "AngryPhonebook")
|
|
self.assertAlmostEqual(rc.ratio, 12325.0 / 11616.0)
|
|
self.assertAlmostEqual(rc.delta, (((11616.0 / 12325.0) - 1) * 100), places=3)
|
|
# handle test results that sometimes change to zero, when compiler
|
|
# optimizes out the body of the incorrectly written test
|
|
rc = ResultComparison(self.r0, self.r0)
|
|
self.assertEqual(rc.name, "GlobalClass")
|
|
self.assertAlmostEqual(rc.ratio, 1)
|
|
self.assertAlmostEqual(rc.delta, 0, places=3)
|
|
rc = ResultComparison(self.r0, self.r01)
|
|
self.assertAlmostEqual(rc.ratio, 0, places=3)
|
|
self.assertAlmostEqual(rc.delta, 2000000, places=3)
|
|
rc = ResultComparison(self.r01, self.r0)
|
|
self.assertAlmostEqual(rc.ratio, 20001)
|
|
self.assertAlmostEqual(rc.delta, -99.995, places=3)
|
|
# disallow comparison of different test results
|
|
self.assertRaises(AssertionError, ResultComparison, self.r0, self.r1)
|
|
|
|
def test_values_is_dubious(self):
|
|
self.assertFalse(ResultComparison(self.r1, self.r2).is_dubious)
|
|
self.r2.max = self.r1.min + 1
|
|
# new.min < old.min < new.max
|
|
self.assertTrue(ResultComparison(self.r1, self.r2).is_dubious)
|
|
# other way around: old.min < new.min < old.max
|
|
self.assertTrue(ResultComparison(self.r2, self.r1).is_dubious)
|
|
|
|
|
|
class FileSystemIntegration(unittest.TestCase):
|
|
def setUp(self):
|
|
# Create a temporary directory
|
|
self.test_dir = tempfile.mkdtemp()
|
|
|
|
def tearDown(self):
|
|
# Remove the directory after the test
|
|
shutil.rmtree(self.test_dir)
|
|
|
|
def write_temp_file(self, file_name, data):
|
|
temp_file_name = os.path.join(self.test_dir, file_name)
|
|
with open(temp_file_name, "w") as f:
|
|
f.write(data)
|
|
return temp_file_name
|
|
|
|
|
|
class OldAndNewLog(unittest.TestCase):
|
|
old_log_content = """1,AngryPhonebook,20,10458,12714,11000,0,11000,10204365
|
|
2,AnyHashableWithAClass,20,247027,319065,259056,0,259056,10250445
|
|
3,Array2D,20,335831,400221,346622,0,346622,28297216
|
|
4,ArrayAppend,20,23641,29000,24990,0,24990,11149926
|
|
34,BitCount,20,3,4,4,0,4,10192896
|
|
35,ByteSwap,20,4,6,4,0,4,10185933"""
|
|
|
|
new_log_content = """265,TwoSum,20,5006,5679,5111,0,5111
|
|
35,ByteSwap,20,0,0,0,0,0
|
|
34,BitCount,20,9,9,9,0,9
|
|
4,ArrayAppend,20,20000,29000,24990,0,24990
|
|
3,Array2D,20,335831,400221,346622,0,346622
|
|
1,AngryPhonebook,20,10458,12714,11000,0,11000"""
|
|
|
|
old_results = dict(
|
|
[
|
|
(r.name, r)
|
|
for r in map(
|
|
PerformanceTestResult,
|
|
[line.split(",") for line in old_log_content.splitlines()],
|
|
)
|
|
]
|
|
)
|
|
|
|
new_results = dict(
|
|
[
|
|
(r.name, r)
|
|
for r in map(
|
|
PerformanceTestResult,
|
|
[line.split(",") for line in new_log_content.splitlines()],
|
|
)
|
|
]
|
|
)
|
|
|
|
def assert_report_contains(self, texts, report):
|
|
assert not isinstance(texts, str)
|
|
for text in texts:
|
|
self.assertIn(text, report)
|
|
|
|
|
|
class TestLogParser(unittest.TestCase):
|
|
def test_parse_results_csv(self):
|
|
"""Ignores uknown lines, extracts data from supported formats."""
|
|
log = """#,TEST,SAMPLES,MIN(us),MAX(us),MEAN(us),SD(us),MEDIAN(us)
|
|
7,Array.append.Array.Int?,20,10,10,10,0,10
|
|
21,Bridging.NSArray.as!.Array.NSString,20,11,11,11,0,11
|
|
42,Flatten.Array.Tuple4.lazy.for-in.Reserve,20,3,4,4,0,4
|
|
|
|
Total performance tests executed: 1
|
|
"""
|
|
parser = LogParser()
|
|
results = parser.parse_results(log.splitlines())
|
|
self.assertTrue(isinstance(results[0], PerformanceTestResult))
|
|
self.assertEqual(results[0].name, "Array.append.Array.Int?")
|
|
self.assertEqual(results[1].name, "Bridging.NSArray.as!.Array.NSString")
|
|
self.assertEqual(results[2].name, "Flatten.Array.Tuple4.lazy.for-in.Reserve")
|
|
|
|
def test_parse_results_tab_delimited(self):
|
|
log = "34\tBitCount\t20\t3\t4\t4\t0\t4"
|
|
parser = LogParser()
|
|
results = parser.parse_results(log.splitlines())
|
|
self.assertTrue(isinstance(results[0], PerformanceTestResult))
|
|
self.assertEqual(results[0].name, "BitCount")
|
|
|
|
def test_parse_results_formatted_text(self):
|
|
"""Parse format that Benchmark_Driver prints to console"""
|
|
log = """
|
|
# TEST SAMPLES MIN(μs) MAX(μs) MEAN(μs) SD(μs) MEDIAN(μs) MAX_RSS(B)
|
|
3 Array2D 20 2060 2188 2099 0 2099 20915200
|
|
|
|
Total performance tests executed: 1
|
|
"""
|
|
parser = LogParser()
|
|
results = parser.parse_results(log.splitlines()[1:]) # without 1st \n
|
|
self.assertTrue(isinstance(results[0], PerformanceTestResult))
|
|
r = results[0]
|
|
self.assertEqual(r.name, "Array2D")
|
|
self.assertEqual(r.max_rss, 20915200)
|
|
|
|
def test_parse_quantiles(self):
|
|
"""Gathers samples from reported quantiles. Handles optional memory."""
|
|
r = LogParser.results_from_string(
|
|
"""#,TEST,SAMPLES,MIN(μs),MEDIAN(μs),MAX(μs)
|
|
1,Ackermann,3,54383,54512,54601"""
|
|
)["Ackermann"]
|
|
self.assertEqual(
|
|
[s.runtime for s in r.samples.all_samples], [54383, 54512, 54601]
|
|
)
|
|
r = LogParser.results_from_string(
|
|
"""#,TEST,SAMPLES,MIN(μs),MEDIAN(μs),MAX(μs),MAX_RSS(B)
|
|
1,Ackermann,3,54529,54760,55807,266240"""
|
|
)["Ackermann"]
|
|
self.assertEqual(
|
|
[s.runtime for s in r.samples.all_samples], [54529, 54760, 55807]
|
|
)
|
|
self.assertEqual(r.max_rss, 266240)
|
|
|
|
def test_parse_delta_quantiles(self):
|
|
r = LogParser.results_from_string( # 2-quantile aka. median
|
|
"#,TEST,SAMPLES,MIN(μs),𝚫MEDIAN,𝚫MAX\n0,B,1,101,,"
|
|
)["B"]
|
|
self.assertEqual(
|
|
(r.num_samples, r.min, r.median, r.max, r.samples.count),
|
|
(1, 101, 101, 101, 1),
|
|
)
|
|
r = LogParser.results_from_string(
|
|
"#,TEST,SAMPLES,MIN(μs),𝚫MEDIAN,𝚫MAX\n0,B,2,101,,1"
|
|
)["B"]
|
|
self.assertEqual(
|
|
(r.num_samples, r.min, r.median, r.max, r.samples.count),
|
|
(2, 101, 101, 102, 2),
|
|
)
|
|
r = LogParser.results_from_string( # 20-quantiles aka. ventiles
|
|
"#,TEST,SAMPLES,MIN(μs),𝚫V1,𝚫V2,𝚫V3,𝚫V4,𝚫V5,𝚫V6,𝚫V7,𝚫V8,"
|
|
+ "𝚫V9,𝚫VA,𝚫VB,𝚫VC,𝚫VD,𝚫VE,𝚫VF,𝚫VG,𝚫VH,𝚫VI,𝚫VJ,𝚫MAX\n"
|
|
+ "202,DropWhileArray,200,214,,,,,,,,,,,,1,,,,,,2,16,464"
|
|
)["DropWhileArray"]
|
|
self.assertEqual(
|
|
(r.num_samples, r.min, r.max, r.samples.count),
|
|
# last 3 ventiles were outliers and were excluded from the sample
|
|
(200, 214, 215, 18),
|
|
)
|
|
|
|
def test_parse_meta(self):
|
|
r = LogParser.results_from_string(
|
|
"#,TEST,SAMPLES,MIN(μs),MAX(μs),MEAN(μs),SD(μs),MEDIAN(μs),"
|
|
+ "PAGES,ICS,YIELD\n"
|
|
+ "0,B,1,2,2,2,0,2,7,29,15"
|
|
)["B"]
|
|
self.assertEqual(
|
|
(r.min, r.mem_pages, r.involuntary_cs, r.yield_count), (2, 7, 29, 15)
|
|
)
|
|
r = LogParser.results_from_string(
|
|
"#,TEST,SAMPLES,MIN(μs),MAX(μs),MEAN(μs),SD(μs),MEDIAN(μs),"
|
|
+ "MAX_RSS(B),PAGES,ICS,YIELD\n"
|
|
+ "0,B,1,3,3,3,0,3,36864,9,50,15"
|
|
)["B"]
|
|
self.assertEqual(
|
|
(r.min, r.mem_pages, r.involuntary_cs, r.yield_count, r.max_rss),
|
|
(3, 9, 50, 15, 36864),
|
|
)
|
|
r = LogParser.results_from_string(
|
|
"#,TEST,SAMPLES,MIN(μs),MAX(μs),PAGES,ICS,YIELD\n" + "0,B,1,4,4,8,31,15"
|
|
)["B"]
|
|
self.assertEqual(
|
|
(r.min, r.mem_pages, r.involuntary_cs, r.yield_count), (4, 8, 31, 15)
|
|
)
|
|
r = LogParser.results_from_string(
|
|
"#,TEST,SAMPLES,MIN(μs),MAX(μs),MAX_RSS(B),PAGES,ICS,YIELD\n"
|
|
+ "0,B,1,5,5,32768,8,28,15"
|
|
)["B"]
|
|
self.assertEqual(
|
|
(r.min, r.mem_pages, r.involuntary_cs, r.yield_count, r.max_rss),
|
|
(5, 8, 28, 15, 32768),
|
|
)
|
|
|
|
def test_parse_results_verbose(self):
|
|
"""Parse multiple performance test results with 2 sample formats:
|
|
single line for N = 1; two lines for N > 1.
|
|
"""
|
|
verbose_log = """--- DATA ---
|
|
#,TEST,SAMPLES,MIN(us),MAX(us),MEAN(us),SD(us),MEDIAN(us)
|
|
Running AngryPhonebook for 3 samples.
|
|
Measuring with scale 78.
|
|
Sample 0,11812
|
|
Measuring with scale 90.
|
|
Sample 1,13898
|
|
Sample 2,11467
|
|
1,AngryPhonebook,3,11467,13898,12392,1315,11812
|
|
Running Array2D for 3 samples.
|
|
SetUp 14444
|
|
Sample 0,369900
|
|
Yielding after ~369918 μs
|
|
Sample 1,381039
|
|
Yielding after ~381039 μs
|
|
Sample 2,371043
|
|
3,Array2D,3,369900,381039,373994,6127,371043
|
|
|
|
Totals,2"""
|
|
parser = LogParser()
|
|
results = parser.parse_results(verbose_log.split("\n"))
|
|
|
|
r = results[0]
|
|
self.assertEqual(
|
|
(r.name, r.min, r.max, int(r.mean), int(r.sd), r.median),
|
|
("AngryPhonebook", 11467, 13898, 12392, 1315, 11812),
|
|
)
|
|
self.assertEqual(r.num_samples, r.samples.num_samples)
|
|
self.assertEqual(
|
|
results[0].samples.all_samples,
|
|
[(0, 78, 11812), (1, 90, 13898), (2, 90, 11467)],
|
|
)
|
|
self.assertEqual(r.yields, None)
|
|
|
|
r = results[1]
|
|
self.assertEqual(
|
|
(r.name, r.min, r.max, int(r.mean), int(r.sd), r.median),
|
|
("Array2D", 369900, 381039, 373994, 6127, 371043),
|
|
)
|
|
self.assertEqual(r.setup, 14444)
|
|
self.assertEqual(r.num_samples, r.samples.num_samples)
|
|
self.assertEqual(
|
|
results[1].samples.all_samples,
|
|
[(0, 1, 369900), (1, 1, 381039), (2, 1, 371043)],
|
|
)
|
|
yielded = r.yields[0]
|
|
self.assertEqual(yielded.before_sample, 1)
|
|
self.assertEqual(yielded.after, 369918)
|
|
self.assertEqual(r.yields, [(1, 369918), (2, 381039)])
|
|
|
|
def test_parse_environment_verbose(self):
|
|
"""Parse stats about environment in verbose mode."""
|
|
verbose_log = """ MAX_RSS 8937472 - 8904704 = 32768 (8 pages)
|
|
ICS 1338 - 229 = 1109
|
|
VCS 2 - 1 = 1
|
|
2,AngryPhonebook,3,11269,11884,11657,338,11820
|
|
"""
|
|
parser = LogParser()
|
|
results = parser.parse_results(verbose_log.split("\n"))
|
|
|
|
r = results[0]
|
|
self.assertEqual(r.max_rss, 32768)
|
|
self.assertEqual(r.mem_pages, 8)
|
|
self.assertEqual(r.voluntary_cs, 1)
|
|
self.assertEqual(r.involuntary_cs, 1109)
|
|
|
|
def test_results_from_merge(self):
|
|
"""Parsing concatenated log merges same PerformanceTestResults"""
|
|
concatenated_logs = """4,ArrayAppend,20,23641,29000,24990,0,24990
|
|
4,ArrayAppend,1,20000,20000,20000,0,20000"""
|
|
results = LogParser.results_from_string(concatenated_logs)
|
|
self.assertEqual(list(results.keys()), ["ArrayAppend"])
|
|
result = results["ArrayAppend"]
|
|
self.assertTrue(isinstance(result, PerformanceTestResult))
|
|
self.assertEqual(result.min, 20000)
|
|
self.assertEqual(result.max, 29000)
|
|
|
|
def test_results_from_merge_verbose(self):
|
|
"""Parsing verbose log merges all PerformanceTestSamples.
|
|
...this should technically be on TestPerformanceTestResult, but it's
|
|
easier to write here. ¯\\_(ツ)_/¯"""
|
|
concatenated_logs = """
|
|
Sample 0,355883
|
|
Sample 1,358817
|
|
Sample 2,353552
|
|
Sample 3,350815
|
|
3,Array2D,4,350815,358817,354766,3403,355883
|
|
Sample 0,363094
|
|
Sample 1,369169
|
|
Sample 2,376131
|
|
Sample 3,364245
|
|
3,Array2D,4,363094,376131,368159,5931,369169"""
|
|
results = LogParser.results_from_string(concatenated_logs)
|
|
self.assertEqual(list(results.keys()), ["Array2D"])
|
|
result = results["Array2D"]
|
|
self.assertTrue(isinstance(result, PerformanceTestResult))
|
|
self.assertEqual(result.min, 350815)
|
|
self.assertEqual(result.max, 376131)
|
|
self.assertEqual(result.median, 358817)
|
|
self.assertAlmostEqual(result.sd, 8443.37, places=2)
|
|
self.assertAlmostEqual(result.mean, 361463.25, places=2)
|
|
self.assertEqual(result.num_samples, 8)
|
|
samples = result.samples
|
|
self.assertTrue(isinstance(samples, PerformanceTestSamples))
|
|
self.assertEqual(samples.count, 8)
|
|
|
|
def test_excludes_outliers_from_samples(self):
|
|
verbose_log = """Running DropFirstAnySeqCntRangeLazy for 10 samples.
|
|
Measuring with scale 2.
|
|
Sample 0,455
|
|
Measuring with scale 2.
|
|
Sample 1,203
|
|
Measuring with scale 2.
|
|
Sample 2,205
|
|
Measuring with scale 2.
|
|
Sample 3,207
|
|
Measuring with scale 2.
|
|
Sample 4,208
|
|
Measuring with scale 2.
|
|
Sample 5,206
|
|
Measuring with scale 2.
|
|
Sample 6,205
|
|
Measuring with scale 2.
|
|
Sample 7,206
|
|
Measuring with scale 2.
|
|
Sample 8,208
|
|
Measuring with scale 2.
|
|
Sample 9,184
|
|
65,DropFirstAnySeqCntRangeLazy,10,184,455,228,79,206
|
|
"""
|
|
parser = LogParser()
|
|
result = parser.parse_results(verbose_log.split("\n"))[0]
|
|
self.assertEqual(result.num_samples, 10)
|
|
self.assertEqual(result.samples.count, 8)
|
|
self.assertEqual(len(result.samples.outliers), 2)
|
|
|
|
|
|
class TestTestComparator(OldAndNewLog):
|
|
def test_init(self):
|
|
def names(tests):
|
|
return [t.name for t in tests]
|
|
|
|
tc = TestComparator(self.old_results, self.new_results, 0.05)
|
|
self.assertEqual(names(tc.unchanged), ["AngryPhonebook", "Array2D"])
|
|
self.assertEqual(names(tc.increased), ["ByteSwap", "ArrayAppend"])
|
|
self.assertEqual(names(tc.decreased), ["BitCount"])
|
|
self.assertEqual(names(tc.added), ["TwoSum"])
|
|
self.assertEqual(names(tc.removed), ["AnyHashableWithAClass"])
|
|
# other way around
|
|
tc = TestComparator(self.new_results, self.old_results, 0.05)
|
|
self.assertEqual(names(tc.unchanged), ["AngryPhonebook", "Array2D"])
|
|
self.assertEqual(names(tc.increased), ["BitCount"])
|
|
self.assertEqual(names(tc.decreased), ["ByteSwap", "ArrayAppend"])
|
|
self.assertEqual(names(tc.added), ["AnyHashableWithAClass"])
|
|
self.assertEqual(names(tc.removed), ["TwoSum"])
|
|
# delta_threshold determines the sorting into change groups;
|
|
# report only change above 100% (ByteSwap's runtime went to 0):
|
|
tc = TestComparator(self.old_results, self.new_results, 1)
|
|
self.assertEqual(
|
|
names(tc.unchanged),
|
|
["AngryPhonebook", "Array2D", "ArrayAppend", "BitCount"],
|
|
)
|
|
self.assertEqual(names(tc.increased), ["ByteSwap"])
|
|
self.assertEqual(tc.decreased, [])
|
|
|
|
|
|
class TestReportFormatter(OldAndNewLog):
|
|
def setUp(self):
|
|
super(TestReportFormatter, self).setUp()
|
|
self.tc = TestComparator(self.old_results, self.new_results, 0.05)
|
|
self.rf = ReportFormatter(self.tc, changes_only=False)
|
|
self.markdown = self.rf.markdown()
|
|
self.git = self.rf.git()
|
|
self.html = self.rf.html()
|
|
|
|
def assert_markdown_contains(self, texts):
|
|
self.assert_report_contains(texts, self.markdown)
|
|
|
|
def assert_git_contains(self, texts):
|
|
self.assert_report_contains(texts, self.git)
|
|
|
|
def assert_html_contains(self, texts):
|
|
self.assert_report_contains(texts, self.html)
|
|
|
|
def test_values(self):
|
|
self.assertEqual(
|
|
ReportFormatter.values(
|
|
PerformanceTestResult(
|
|
"1,AngryPhonebook,20,10664,12933,11035,576,10884".split(",")
|
|
)
|
|
),
|
|
("AngryPhonebook", "10664", "12933", "11035", "—"),
|
|
)
|
|
self.assertEqual(
|
|
ReportFormatter.values(
|
|
PerformanceTestResult(
|
|
"1,AngryPhonebook,1,12045,12045,12045,0,12045,10510336".split(",")
|
|
)
|
|
),
|
|
("AngryPhonebook", "12045", "12045", "12045", "10510336"),
|
|
)
|
|
|
|
r1 = PerformanceTestResult(
|
|
"1,AngryPhonebook,1,12325,12325,12325,0,12325,10510336".split(",")
|
|
)
|
|
r2 = PerformanceTestResult(
|
|
"1,AngryPhonebook,1,11616,11616,11616,0,11616,10502144".split(",")
|
|
)
|
|
self.assertEqual(
|
|
ReportFormatter.values(ResultComparison(r1, r2)),
|
|
("AngryPhonebook", "12325", "11616", "-5.8%", "1.06x"),
|
|
)
|
|
self.assertEqual(
|
|
ReportFormatter.values(ResultComparison(r2, r1)),
|
|
("AngryPhonebook", "11616", "12325", "+6.1%", "0.94x"),
|
|
)
|
|
r2.max = r1.min + 1
|
|
self.assertEqual(
|
|
ReportFormatter.values(ResultComparison(r1, r2))[4],
|
|
"1.06x (?)", # is_dubious
|
|
)
|
|
|
|
def test_justified_columns(self):
|
|
"""Table columns are all formated with same width, defined by the
|
|
longest value.
|
|
"""
|
|
self.assert_markdown_contains(
|
|
[
|
|
"AnyHashableWithAClass | 247027 | 319065 | 259056 | 10250445",
|
|
"Array2D | 335831 | 335831 | +0.0% | 1.00x",
|
|
]
|
|
)
|
|
self.assert_git_contains(
|
|
[
|
|
"AnyHashableWithAClass 247027 319065 259056 10250445",
|
|
"Array2D 335831 335831 +0.0% 1.00x",
|
|
]
|
|
)
|
|
|
|
def test_column_headers(self):
|
|
"""Report contains table headers for ResultComparisons and changed
|
|
PerformanceTestResults.
|
|
"""
|
|
performance_test_result = self.tc.added[0]
|
|
self.assertEqual(
|
|
ReportFormatter.header_for(performance_test_result),
|
|
("TEST", "MIN", "MAX", "MEAN", "MAX_RSS"),
|
|
)
|
|
comparison_result = self.tc.increased[0]
|
|
self.assertEqual(
|
|
ReportFormatter.header_for(comparison_result),
|
|
("TEST", "OLD", "NEW", "DELTA", "RATIO"),
|
|
)
|
|
self.assert_markdown_contains(
|
|
[
|
|
"TEST | OLD | NEW | DELTA | RATIO",
|
|
":--- | ---: | ---: | ---: | ---: ",
|
|
"TEST | MIN | MAX | MEAN | MAX_RSS",
|
|
]
|
|
)
|
|
self.assert_git_contains(
|
|
[
|
|
"TEST OLD NEW DELTA RATIO",
|
|
"TEST MIN MAX MEAN MAX_RSS",
|
|
]
|
|
)
|
|
self.assert_html_contains(
|
|
[
|
|
"""
|
|
<th align='left'>OLD</th>
|
|
<th align='left'>NEW</th>
|
|
<th align='left'>DELTA</th>
|
|
<th align='left'>RATIO</th>""",
|
|
"""
|
|
<th align='left'>MIN</th>
|
|
<th align='left'>MAX</th>
|
|
<th align='left'>MEAN</th>
|
|
<th align='left'>MAX_RSS</th>""",
|
|
]
|
|
)
|
|
|
|
def test_emphasize_speedup(self):
|
|
"""Emphasize speedup values for regressions and improvements"""
|
|
# tests in No Changes don't have emphasized speedup
|
|
self.assert_markdown_contains(
|
|
[
|
|
"BitCount | 3 | 9 | +199.9% | **0.33x**",
|
|
"ByteSwap | 4 | 0 | -100.0% | **4001.00x**",
|
|
"AngryPhonebook | 10458 | 10458 | +0.0% | 1.00x ",
|
|
"ArrayAppend | 23641 | 20000 | -15.4% | **1.18x (?)**",
|
|
]
|
|
)
|
|
self.assert_git_contains(
|
|
[
|
|
"BitCount 3 9 +199.9% **0.33x**",
|
|
"ByteSwap 4 0 -100.0% **4001.00x**",
|
|
"AngryPhonebook 10458 10458 +0.0% 1.00x",
|
|
"ArrayAppend 23641 20000 -15.4% **1.18x (?)**",
|
|
]
|
|
)
|
|
self.assert_html_contains(
|
|
[
|
|
"""
|
|
<tr>
|
|
<td align='left'>BitCount</td>
|
|
<td align='left'>3</td>
|
|
<td align='left'>9</td>
|
|
<td align='left'>+199.9%</td>
|
|
<td align='left'><font color='red'>0.33x</font></td>
|
|
</tr>""",
|
|
"""
|
|
<tr>
|
|
<td align='left'>ByteSwap</td>
|
|
<td align='left'>4</td>
|
|
<td align='left'>0</td>
|
|
<td align='left'>-100.0%</td>
|
|
<td align='left'><font color='green'>4001.00x</font></td>
|
|
</tr>""",
|
|
"""
|
|
<tr>
|
|
<td align='left'>AngryPhonebook</td>
|
|
<td align='left'>10458</td>
|
|
<td align='left'>10458</td>
|
|
<td align='left'>+0.0%</td>
|
|
<td align='left'><font color='black'>1.00x</font></td>
|
|
</tr>""",
|
|
]
|
|
)
|
|
|
|
def test_sections(self):
|
|
"""Report is divided into sections with summaries."""
|
|
self.assert_markdown_contains(
|
|
[
|
|
"""<details open>
|
|
<summary>Regression (1)</summary>""",
|
|
"""<details >
|
|
<summary>Improvement (2)</summary>""",
|
|
"""<details >
|
|
<summary>No Changes (2)</summary>""",
|
|
"""<details open>
|
|
<summary>Added (1)</summary>""",
|
|
"""<details open>
|
|
<summary>Removed (1)</summary>""",
|
|
]
|
|
)
|
|
self.assert_git_contains(
|
|
[
|
|
"Regression (1): \n",
|
|
"Improvement (2): \n",
|
|
"No Changes (2): \n",
|
|
"Added (1): \n",
|
|
"Removed (1): \n",
|
|
]
|
|
)
|
|
self.assert_html_contains(
|
|
[
|
|
"<th align='left'>Regression (1)</th>",
|
|
"<th align='left'>Improvement (2)</th>",
|
|
"<th align='left'>No Changes (2)</th>",
|
|
"<th align='left'>Added (1)</th>",
|
|
"<th align='left'>Removed (1)</th>",
|
|
]
|
|
)
|
|
|
|
def test_report_only_changes(self):
|
|
"""Leave out tests without significant change."""
|
|
rf = ReportFormatter(self.tc, changes_only=True)
|
|
markdown, git, html = rf.markdown(), rf.git(), rf.html()
|
|
self.assertNotIn("No Changes", markdown)
|
|
self.assertNotIn("AngryPhonebook", markdown)
|
|
self.assertNotIn("No Changes", git)
|
|
self.assertNotIn("AngryPhonebook", git)
|
|
self.assertNotIn("No Changes", html)
|
|
self.assertNotIn("AngryPhonebook", html)
|
|
|
|
def test_single_table_report(self):
|
|
"""Single table report has inline headers and no elaborate sections."""
|
|
self.tc.removed = [] # test handling empty section
|
|
rf = ReportFormatter(self.tc, changes_only=True, single_table=True)
|
|
markdown = rf.markdown()
|
|
self.assertNotIn("<details", markdown) # no sections
|
|
self.assertNotIn("\n\n", markdown) # table must not be broken
|
|
self.assertNotIn("Removed", markdown)
|
|
self.assert_report_contains(
|
|
[
|
|
"\n**Regression** ",
|
|
"| **OLD**",
|
|
"| **NEW**",
|
|
"| **DELTA**",
|
|
"| **RATIO**",
|
|
"\n**Added** ",
|
|
"| **MIN**",
|
|
"| **MAX**",
|
|
"| **MEAN**",
|
|
"| **MAX_RSS**",
|
|
],
|
|
markdown,
|
|
)
|
|
# Single delimiter row:
|
|
self.assertIn("\n:---", markdown) # first column is left aligned
|
|
self.assertEqual(markdown.count("| ---:"), 4) # other, right aligned
|
|
# Separator before every inline header (new section):
|
|
self.assertEqual(markdown.count(" | | | | "), 2)
|
|
|
|
git = rf.git()
|
|
self.assertNotIn("): \n", git) # no sections
|
|
self.assertNotIn("REMOVED", git)
|
|
self.assert_report_contains(
|
|
[
|
|
"\nREGRESSION ",
|
|
" OLD ",
|
|
" NEW ",
|
|
" DELTA ",
|
|
" RATIO ",
|
|
"\n\nADDED ",
|
|
" MIN ",
|
|
" MAX ",
|
|
" MEAN ",
|
|
" MAX_RSS ",
|
|
],
|
|
git,
|
|
)
|
|
# Separator before every inline header (new section):
|
|
self.assertEqual(git.count("\n\n"), 2)
|
|
|
|
|
|
class Test_parse_args(unittest.TestCase):
|
|
required = ["--old-file", "old.log", "--new-file", "new.log"]
|
|
|
|
def test_required_input_arguments(self):
|
|
with captured_output() as (_, err):
|
|
self.assertRaises(SystemExit, parse_args, [])
|
|
self.assertIn("usage: compare_perf_tests.py", err.getvalue())
|
|
|
|
args = parse_args(self.required)
|
|
self.assertEqual(args.old_file, "old.log")
|
|
self.assertEqual(args.new_file, "new.log")
|
|
|
|
def test_format_argument(self):
|
|
self.assertEqual(parse_args(self.required).format, "markdown")
|
|
self.assertEqual(
|
|
parse_args(self.required + ["--format", "markdown"]).format, "markdown"
|
|
)
|
|
self.assertEqual(parse_args(self.required + ["--format", "git"]).format, "git")
|
|
self.assertEqual(
|
|
parse_args(self.required + ["--format", "html"]).format, "html"
|
|
)
|
|
|
|
with captured_output() as (_, err):
|
|
self.assertRaises(
|
|
SystemExit, parse_args, self.required + ["--format", "bogus"]
|
|
)
|
|
self.assertIn(
|
|
"error: argument --format: invalid choice: 'bogus' "
|
|
"(choose from 'markdown', 'git', 'html')",
|
|
err.getvalue(),
|
|
)
|
|
|
|
def test_delta_threshold_argument(self):
|
|
# default value
|
|
args = parse_args(self.required)
|
|
self.assertEqual(args.delta_threshold, 0.05)
|
|
# float parsing
|
|
args = parse_args(self.required + ["--delta-threshold", "0.1"])
|
|
self.assertEqual(args.delta_threshold, 0.1)
|
|
args = parse_args(self.required + ["--delta-threshold", "1"])
|
|
self.assertEqual(args.delta_threshold, 1.0)
|
|
args = parse_args(self.required + ["--delta-threshold", ".2"])
|
|
self.assertEqual(args.delta_threshold, 0.2)
|
|
|
|
with captured_output() as (_, err):
|
|
self.assertRaises(
|
|
SystemExit, parse_args, self.required + ["--delta-threshold", "2,2"]
|
|
)
|
|
self.assertIn(
|
|
" error: argument --delta-threshold: invalid float " "value: '2,2'",
|
|
err.getvalue(),
|
|
)
|
|
|
|
def test_output_argument(self):
|
|
self.assertEqual(parse_args(self.required).output, None)
|
|
self.assertEqual(
|
|
parse_args(self.required + ["--output", "report.log"]).output, "report.log"
|
|
)
|
|
|
|
def test_changes_only_argument(self):
|
|
self.assertFalse(parse_args(self.required).changes_only)
|
|
self.assertTrue(parse_args(self.required + ["--changes-only"]).changes_only)
|
|
|
|
|
|
class Test_compare_perf_tests_main(OldAndNewLog, FileSystemIntegration):
|
|
"""Integration test that invokes the whole comparison script."""
|
|
|
|
markdown = [
|
|
"<summary>Regression (1)</summary>",
|
|
"TEST | OLD | NEW | DELTA | RATIO",
|
|
"BitCount | 3 | 9 | +199.9% | **0.33x**",
|
|
]
|
|
git = [
|
|
"Regression (1):",
|
|
"TEST OLD NEW DELTA RATIO",
|
|
"BitCount 3 9 +199.9% **0.33x**",
|
|
]
|
|
html = ["<html>", "<td align='left'>BitCount</td>"]
|
|
|
|
def setUp(self):
|
|
super(Test_compare_perf_tests_main, self).setUp()
|
|
self.old_log = self.write_temp_file("old.log", self.old_log_content)
|
|
self.new_log = self.write_temp_file("new.log", self.new_log_content)
|
|
|
|
def execute_main_with_format(self, report_format, test_output=False):
|
|
report_file = self.test_dir + "report.log"
|
|
args = [
|
|
"compare_perf_tests.py",
|
|
"--old-file",
|
|
self.old_log,
|
|
"--new-file",
|
|
self.new_log,
|
|
"--format",
|
|
report_format,
|
|
]
|
|
|
|
sys.argv = args if not test_output else args + ["--output", report_file]
|
|
|
|
with captured_output() as (out, _):
|
|
main()
|
|
report_out = out.getvalue()
|
|
|
|
if test_output:
|
|
with open(report_file, "r") as f:
|
|
report = f.read()
|
|
# because print adds newline, add one here, too:
|
|
report_file = str(report + "\n")
|
|
else:
|
|
report_file = None
|
|
|
|
return report_out, report_file
|
|
|
|
def test_markdown(self):
|
|
"""Writes Markdown formatted report to stdout"""
|
|
report_out, _ = self.execute_main_with_format("markdown")
|
|
self.assert_report_contains(self.markdown, report_out)
|
|
|
|
def test_markdown_output(self):
|
|
"""Writes Markdown formatted report to stdout and `--output` file."""
|
|
report_out, report_file = self.execute_main_with_format(
|
|
"markdown", test_output=True
|
|
)
|
|
self.assertEqual(report_out, report_file)
|
|
self.assert_report_contains(self.markdown, report_file)
|
|
|
|
def test_git(self):
|
|
"""Writes Git formatted report to stdout."""
|
|
report_out, _ = self.execute_main_with_format("git")
|
|
self.assert_report_contains(self.git, report_out)
|
|
|
|
def test_git_output(self):
|
|
"""Writes Git formatted report to stdout and `--output` file."""
|
|
report_out, report_file = self.execute_main_with_format("git", test_output=True)
|
|
self.assertEqual(report_out, report_file)
|
|
self.assert_report_contains(self.git, report_file)
|
|
|
|
def test_html(self):
|
|
"""Writes HTML formatted report to stdout."""
|
|
report_out, _ = self.execute_main_with_format("html")
|
|
self.assert_report_contains(self.html, report_out)
|
|
|
|
def test_html_output(self):
|
|
"""Writes HTML formatted report to stdout and `--output` file."""
|
|
report_out, report_file = self.execute_main_with_format(
|
|
"html", test_output=True
|
|
)
|
|
self.assertEqual(report_out, report_file)
|
|
self.assert_report_contains(self.html, report_file)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|